code: def condense(*equations, **kwds):
      """condense tuples of equations to the simplest representation
  
      Args:
          equations (tuple[str]): tuples of inequalities or equalities
          verbose (bool, default=False): if True, print diagnostic information
  
      Examples:
          >>> condense(('C <= 0', 'B <= 0'), ('C <= 0', 'B >= 0'))
          [('C <= 0',)]
  
          >>> condense(('C <= 0', 'B <= 0'), ('C >= 0', 'B <= 0'))
          [('B <= 0',)]
  
          >>> condense(('C <= 0', 'B <= 0'), ('C >= 0', 'B >= 0'))
          [('C <= 0', 'B <= 0'), ('C >= 0', 'B >= 0')]"""
      verbose = kwds["verbose"] if "verbose" in kwds else False
      result, miss = [], []
      skip = set()
      found = False
      for i, u in enumerate(equations):
          if i in skip:
              continue
          for j, v in enumerate(equations[i + 1 :], i + 1):
              if verbose:
                  print("try: {0} {1}".format(u, v))
              left = []
              same = tuple(
                  k for k in u if k in v or left.append(flip(k))
              )
              if len(same) == len(u) - 1 and all(k in v for k in left):
                  if same:
                      result.append(same)
                  skip.add(i)
                  skip.add(j)
                  found = True
                  break
          if not found:
              miss.append(u)
          else:
              found = False
      if verbose:
          print("matches: {0}".format(result))
          print("misses: {0}".format(miss))
      return condense(*result, **kwds) + miss if result else miss
  
imports: from numpy import ndarray, asarray, any
  from mystic._symbolic import solve
  from mystic.tools import list_or_tuple_or_ndarray, flatten
label_desc: Use image node_id 6 for calling a global function with example usage: condense() and returns: unknown